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Welfare Implications of Learning Through Solicitation versus Diversification in Health Care

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  • Anirban Basu

Abstract

This paper uses Roy's model of sorting behavior to study welfare implication of current health care data production infrastructure that relies on solicitation of research subjects. We show that due to severe adverse-selection issues, directionality of bias cannot be established and welfare may decrease due to new data. Direct diversification of treatment receipt may solve these issues but is infeasible. Unifying Manski's work diversified treatment choice under ambiguity and Heckman's work on estimating heterogeneous treatment effects, the paper proposes a new infrastructure based on temporary diversification of access that resolves the prior issues and can identify nuanced effect heterogeneity.

Suggested Citation

  • Anirban Basu, 2014. "Welfare Implications of Learning Through Solicitation versus Diversification in Health Care," NBER Working Papers 20376, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:20376
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    1. Basu, Anirban & Jena, Anupam B. & Philipson, Tomas J., 2011. "The impact of comparative effectiveness research on health and health care spending," Journal of Health Economics, Elsevier, vol. 30(4), pages 695-706, July.
    2. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
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    5. Basu, Anirban, 2011. "Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care," Journal of Health Economics, Elsevier, vol. 30(3), pages 549-559, May.
    6. Anirban Basu, 2014. "ESTIMATING PERSON‐CENTERED TREATMENT (PeT) EFFECTS USING INSTRUMENTAL VARIABLES: AN APPLICATION TO EVALUATING PROSTATE CANCER TREATMENTS," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 671-691, June.
    7. David Meltzer, 1997. "Accounting for Future Costs in Medical Cost-Effectiveness Analysis," NBER Working Papers 5946, National Bureau of Economic Research, Inc.
    8. Malani, Anup, 2008. "Patient enrollment in medical trials: Selection bias in a randomized experiment," Journal of Econometrics, Elsevier, vol. 144(2), pages 341-351, June.
    9. Charles F. Manski, 2009. "The 2009 Lawrence R. Klein Lecture: Diversified Treatment Under Ambiguity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1013-1041, November.
    10. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    11. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
    12. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
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    Cited by:

    1. Anirban Basu, 2018. "Comment: Manski's views on patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1422-1424, October.

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    More about this item

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D6 - Microeconomics - - Welfare Economics
    • I1 - Health, Education, and Welfare - - Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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